Asset management firms increasingly leverage alternative data to enhance their investment strategies and gain an informational edge over the rest of the market. It is becoming the normal course of business to use new types of data in alternative ways and soon “alternative data” will simply be referred to as “data.” The ability for one firm…

The primary purpose of the Consolidated Audit Trail (CAT), a rule under the Securities and Exchange Act, is to arm regulators with the data they need to effectively conduct market surveillance and investigations into suspicious trading activities across all national exchanges. The difference between this and current trade reporting regimes is that it covers more…

Originally posted on Medium. Before I dig into Confluent KSQL, Apache Kafka, and Spark Streaming let’s first take a look at what ‘streaming’ is and why it is so valuable. Data streaming is a continuous generation of lightweight messages, typically in kilobytes, from potentially many different data sources. It can be from a variety of…

Introduction DFAST and CCAR require bank holding companies to report, in detail, how they would respond to hypothetical market scenarios that represent macroeconomic shocks like a housing meltdown or a stock market crash. The data used by each company to predict losses and create a response plan must be actual data, not approximated. Using the…

A data lake was initially described as a storage system that held a very large amount of data in its original format until required. Originally the term data lake was synonymous with Apache Hadoop. Apache Hadoop enabled organizations to both store and compute data on commodity hardware. Apache Hadoop was a place where you had…

This article was originally posted on the Cloudera VISION site. Criminals don’t refer to a playbook of best practices to execute a crime. They are creative in their thinking and collaborative in their efforts (including with parties who may not know they are complicit) to obtain their objectives and avoid getting caught. Trade surveillance in the financial…

This post was co-written with JJ Medina, Managing Director ~ Enterprise Software Solutions for Financial Services at Pitney Bowes Commercial Real Estate (CRE) is at a risky inflection point. The rate of charge-offs (when the value of loans are removed from books and charged against a loss reserve) are essentially at zero while delinquency rates are…

This post was co-written with Richard Harmon Ph.D., Director, EMEA Financial Services at Cloudera. A growing number of asset management firms have been integrating alternative data sources with conventional market data, enriching trading strategies with additional insights as a means to gain an informational advantage and an edge on the rest of the market. But the informational…

Arcadia Data, provider of the first native visual analytics software for big data, announced today that it will participate in a webinar with Wayne Eckerson, hosted by the Bloor Group on March 14, 2018. The webinar, “Delivering on the Promise: Business Value from Data Lakes,” will begin at 1:00 p.m. PDT and will highlight a…

The use of artificial intelligence (AI) to optimize business processes across the financial services industry is becoming commonplace in 2018. Every day, new organizations announce how AI is revolutionizing the industry with disruptive results. As more and more business decisions are based on AI and advanced data analytics it is critical to provide transparency to…

Summary On February 23, 2012, the U.S. Commodity Futures Trading Commission (CFTC) adopted final rules regarding the internal business conduct of swap entities. The approved rules, detailed in CFTC 17 CFR Subpart F, impose sweeping record retention and production requirements for swap dealers (SD) and major swap participants (MSPs). Under these new rules, one of…